| Binomial regression in GLIM: estimating risk ratios and risk differences. | |
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MedLine Citation:
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PMID: 3509965 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Although an estimate of the odds ratio adjusted for other covariates can be obtained by logistic regression, until now there has been no simple way to estimate other interesting parameters such as the risk ratio and risk difference multivariately for prospective binomial data. These parameters can be estimated in the generalized linear model framework by choosing different link functions or transformations of binomial or binary data. Macros for use with the program GLIM provide a simple method to compute parameters other than the odds ratio while adjusting for confounding factors. A data set presented previously is used as an example. |
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Authors:
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S Wacholder |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: American journal of epidemiology Volume: 123 ISSN: 0002-9262 ISO Abbreviation: Am. J. Epidemiol. Publication Date: 1986 Jan |
Date Detail:
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Created Date: 1986-01-21 Completed Date: 1986-01-21 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 7910653 Medline TA: Am J Epidemiol Country: UNITED STATES |
Other Details:
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Languages: eng Pagination: 174-84 Citation Subset: IM |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Biometry* Computers* Epidemiologic Methods* Female Humans Infant, Low Birth Weight Infant, Newborn Pregnancy Regression Analysis Smoking Social Class |
| Comments/Corrections | |
Comment In:
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Am J Epidemiol. 1989 Nov;130(5):1065
[PMID:
2816893
]
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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